So sánh phương pháp

	Đánh giá chương trình theo chiều dọc	Phân tích chuỗi thời gian bị gián đoạn (ITS)	Nghiên cứu Dài hạn
Lĩnh vực	Phương pháp thực địa	Suy luận nhân quả	Thiết kế nghiên cứu
Họ	Process / pipeline	Regression model	Process / pipeline
Năm ra đời	1960s–1970s (program evaluation); longitudinal designs formalized 1970s–1980s	2002	Late 19th–early 20th century; methodologically codified through the 20th century
Người khởi xướng	Peter Rossi, Michael Scriven, Donald Campbell (program evaluation tradition)	Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
Loại	Applied evaluation research design	Quasi-experimental segmented regression	Quantitative (or mixed) observational research design
Công trình gốc	Rossi, P. H., Lipsey, M. W., & Freeman, H. E. (2004). Evaluation: A Systematic Approach (7th ed.). Sage Publications. ISBN: 978-0761908944	Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355.	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
Tên gọi khác	LPE, longitudinal evaluation, long-term program evaluation, prospective program evaluation	ITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
Liên quan	3	5	4
Tóm tắt	Longitudinal program evaluation is an applied research design that tracks the outcomes and processes of a program or intervention across multiple time points — from pre-implementation baseline through medium- and long-term follow-up. Unlike single-point evaluations, it captures how program effects emerge, fade, or evolve over time, enabling evaluators and funders to judge sustained impact, cost-effectiveness, and unintended consequences that would be invisible in a snapshot assessment.	Interrupted Time Series analysis is a quasi-experimental design that estimates the effect of a single, well-dated intervention by comparing the trajectory of an outcome before and after it occurs. Formalised as segmented regression by Wagner and colleagues (2002) and popularised as a public-health evaluation tutorial by Bernal, Cummins and Gasparrini (2017), it separates the intervention's impact into a change in level and a change in slope.	Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time.